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Strongly Adaptive Online Learning

25 February 2015

Papers citing "Strongly Adaptive Online Learning"

50 / 123 papers shown

Title
Blind Construction of Angular Power Maps in Massive MIMO NetworksIEEE Transactions on Signal Processing (IEEE TSP), 2025 Zheng Xing Junting Chen 92 0 0 08 Oct 2025
Non-stationary Bandit Convex Optimization: A Comprehensive Study Xiaoqi Liu Dorian Baudry Julian Zimmert Patrick Rebeschini Arya Akhavan 196 2 0 03 Jun 2025
Discounted Online Convex Optimization: Uniform Regret Across a Continuous Interval Wenhao Yang Sifan Yang Lijun Zhang 121 0 0 26 May 2025
Adaptive Estimation and Learning under Temporal Distribution Shift Dheeraj Baby Yifei Tang Hieu Duy Nguyen Yu Wang Rohit Pyati OOD AI4TS 194 0 0 21 May 2025
Adapting to Online Distribution Shifts in Deep Learning: A Black-Box ApproachInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025 Dheeraj Baby Boran Han Shuai Zhang Cuixiong Hu Yuyang Wang Yu Wang OOD 232 1 0 09 Apr 2025
Partition Tree Weighting for Non-Stationary Stochastic Bandits Joel Veness Marcus Hutter Andras Gyorgy Jordi Grau-Moya 130 0 0 26 Feb 2025
Order-Optimal Projection-Free Algorithm for Adversarially Constrained Online Convex Optimization Yiyang Lu M. Pedramfar Vaneet Aggarwal 3DV 218 2 0 23 Feb 2025
Minimizing Queue Length Regret for Arbitrarily Varying ChannelsInternational Symposium on Information Theory (ISIT), 2025 G Krishnakumar Abhishek Sinha 133 0 0 23 Jan 2025
Multi-model Ensemble Conformal Prediction in Dynamic EnvironmentsNeural Information Processing Systems (NeurIPS), 2024 Erfan Hajihashemi Yanning Shen 131 8 0 06 Nov 2024
Efficiently Identifying Watermarked Segments in Mixed-Source TextsAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 Xuandong Zhao Chenwen Liao Yu-Xiang Wang Lei Li WaLM 224 3 0 04 Oct 2024
Structured Prediction in Online Learning Pierre Boudart Alessandro Rudi Pierre Gaillard 88 2 0 18 Jun 2024
Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously Stephen Pasteris Chris Hicks V. Mavroudis Mark Herbster 266 1 0 31 May 2024
MetaCURL: Non-stationary Concave Utility Reinforcement Learning B. Moreno Margaux Brégère Pierre Gaillard Nadia Oudjane OffRL 207 2 0 30 May 2024
Universal Online Convex Optimization with $1$ Projection per Round Wenhao Yang Yibo Wang Peng Zhao Lijun Zhang 243 6 0 30 May 2024
Online Linear Regression in Dynamic Environments via Discounting Andrew Jacobsen Ashok Cutkosky 277 10 0 29 May 2024
From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization M. Pedramfar Vaneet Aggarwal 257 3 0 27 Apr 2024
Near-optimal Per-Action Regret Bounds for Sleeping Bandits Quan Nguyen Nishant A. Mehta 243 1 0 02 Mar 2024
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness Chengli Zhao Feng Mi Xintao Wu Kai Jiang Latifur Khan Feng Chen 222 9 0 19 Feb 2024
Model Assessment and Selection under Temporal Distribution Shift Elise Han Chengpiao Huang Kaizheng Wang OOD 262 5 0 13 Feb 2024
Discounted Adaptive Online Learning: Towards Better Regularization Zhiyu Zhang David Bombara Heng Yang 215 10 0 05 Feb 2024
Understanding Adam Optimizer via Online Learning of Updates: Adam is FTRL in Disguise Kwangjun Ahn Zhiyu Zhang Yunbum Kook Yan Dai 249 20 0 02 Feb 2024
Online conformal prediction with decaying step sizes Anastasios Nikolas Angelopoulos Rina Foygel Barber Stephen Bates 451 44 0 02 Feb 2024
Adaptive Regret for Bandits Made Possible: Two Queries SufficeInternational Conference on Learning Representations (ICLR), 2024 Zhou Lu Qiuyi Zhang Xinyi Chen Fred Zhang David P. Woodruff Elad Hazan 172 0 0 17 Jan 2024
A Stability Principle for Learning under Non-StationarityOperational Research (OR), 2023 Chengpiao Huang Kaizheng Wang 430 6 0 27 Oct 2023
Adaptive, Doubly Optimal No-Regret Learning in Strongly Monotone and Exp-Concave Games with Gradient FeedbackOperational Research (OR), 2023 Michael I. Jordan Tianyi Lin Zhengyuan Zhou 469 7 0 21 Oct 2023
Efficient Methods for Non-stationary Online LearningNeural Information Processing Systems (NeurIPS), 2023 Peng Zhao Yan-Feng Xie Lijun Zhang Zhi Zhou 312 31 0 16 Sep 2023
Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated AgentsNeural Information Processing Systems (NeurIPS), 2023 Nika Haghtalab Chara Podimata Kunhe Yang 192 30 0 05 Jun 2023
Towards Fair Disentangled Online Learning for Changing EnvironmentsKnowledge Discovery and Data Mining (KDD), 2023 Chenxu Zhao Feng Mi Xintao Wu Kai Jiang Latifur Khan Christan Earl Grant Feng Chen 165 17 0 31 May 2023
Online Label Shift: Optimal Dynamic Regret meets Practical AlgorithmsNeural Information Processing Systems (NeurIPS), 2023 Dheeraj Baby Saurabh Garg Tzu-Ching Yen Sivaraman Balakrishnan Zachary Chase Lipton Yu Wang 183 15 0 31 May 2023
Non-stationary Projection-free Online Learning with Dynamic and Adaptive Regret GuaranteesAAAI Conference on Artificial Intelligence (AAAI), 2023 Yibo Wang Wenhao Yang Wei Jiang Shiyin Lu Bing Wang Haihong Tang Yuanyu Wan Lijun Zhang 244 13 0 19 May 2023
Population-based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning Marc Lanctot John Schultz Neil Burch Max O. Smith Daniel Hennes Thomas W. Anthony Julien Perolat OffRL 186 7 0 02 Mar 2023
A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective LearningNeural Information Processing Systems (NeurIPS), 2023 Nika Haghtalab Michael I. Jordan Eric Zhao 352 22 0 21 Feb 2023
Improved Online Conformal Prediction via Strongly Adaptive Online LearningInternational Conference on Machine Learning (ICML), 2023 Aadyot Bhatnagar Haiquan Wang Caiming Xiong Yu Bai AI4TS 289 73 0 15 Feb 2023
Universal Online Optimization in Dynamic Environments via Uniclass Prediction Arnold Salas 182 0 0 13 Feb 2023
Improved Dynamic Regret for Online Frank-WolfeAnnual Conference Computational Learning Theory (COLT), 2023 Yuanyu Wan Lijun Zhang Weilong Dai 299 12 0 11 Feb 2023
Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex ConversionInternational Conference on Machine Learning (ICML), 2023 Ashok Cutkosky Harsh Mehta Francesco Orabona 340 46 0 07 Feb 2023
Unconstrained Dynamic Regret via Sparse CodingNeural Information Processing Systems (NeurIPS), 2023 Zhiyu Zhang Ashok Cutkosky I. Paschalidis 387 12 0 31 Jan 2023
Instance-Conditional Timescales of Decay for Non-Stationary LearningAAAI Conference on Artificial Intelligence (AAAI), 2022 Nishant Jain Pradeep Shenoy 192 6 0 12 Dec 2022
Projection-free Adaptive Regret with Membership OraclesInternational Conference on Algorithmic Learning Theory (ALT), 2022 Zhou Lu Nataly Brukhim Paula Gradu Elad Hazan 204 16 0 22 Nov 2022
Momentum Aggregation for Private Non-convex ERMNeural Information Processing Systems (NeurIPS), 2022 Hoang Tran Ashok Cutkosky 161 14 0 12 Oct 2022
Modifying Squint for Prediction with Expert Advice in a Changing Environment Thom Neuteboom T. Erven 137 1 0 14 Sep 2022
Dynamic Regret of Online Markov Decision ProcessesInternational Conference on Machine Learning (ICML), 2022 Peng Zhao Longfei Li Zhi Zhou OffRL 184 19 0 26 Aug 2022
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient MethodsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Davoud Ataee Tarzanagh Parvin Nazari Bojian Hou Li Shen Laura Balzano 400 12 0 06 Jul 2022
On the Computational Efficiency of Adaptive and Dynamic Regret Minimization Zhou Lu Elad Hazan 340 4 0 01 Jul 2022
Optimal Dynamic Regret in LQR ControlNeural Information Processing Systems (NeurIPS), 2022 Dheeraj Baby Yu Wang 157 18 0 18 Jun 2022
Adaptive Online Learning of Quantum StatesQuantum (Quantum), 2022 Xinyi Chen Elad Hazan Tongyang Li Zhou Lu Xinzhao Wang Rui Yang 177 18 0 01 Jun 2022
Adversarial Bandits against Arbitrary Strategies Jung-hun Kim Se-Young Yun 297 0 0 30 May 2022
Adaptive Fairness-Aware Online Meta-Learning for Changing EnvironmentsKnowledge Discovery and Data Mining (KDD), 2022 Chenxu Zhao Feng Mi Xintao Wu Kai Jiang Latifur Khan Feng Chen CLL 220 24 0 20 May 2022
Optimal Comparator Adaptive Online Learning with Switching CostNeural Information Processing Systems (NeurIPS), 2022 Zhiyu Zhang Ashok Cutkosky I. Paschalidis 253 7 0 13 May 2022
Universal CachingInformation Theory Workshop (ITW), 2022 Ativ Joshi Abhishek Sinha OffRL 138 2 0 10 May 2022